Apromore, the leading provider of process mining and predictive process monitoring technology.has announced a partnership with Workato, the leading enterprise automation platform, to ease data ingestion for end-to-end process discovery and analysis supporting automation, customer experience operational excellence initiatives.
Apromore says Workato’s embedded customizable integrations will make it easier for enterprises to integrate data from disparate sources into the Apromore process mining platform, minimising the impact on IT services.
The companies says the partnership seeks to remove two of the top barriers to success for enterprise automation efforts: a need for advanced coding skills and the requirement to support complex extract, transform and load data pipelines. The first integrations for Oracle NetSuite and Salesforce are available now.
“Enterprises have vast amounts of data but are experiencing significant pain in integrating that data into systems that can connect insight with actions,” said Marlon Dumas, co-founder, and Head of Partnerships at Apromore. “The partnership with Workato provides access to thousands of systems, enabling Apromore customers to access the richest landscape of connectivity solutions for process mining.”
“It’s essential for businesses to start with an accurate map of customer journeys and business processes before identifying where new business value can be created,” said Bharath Yadla, Vice President, Strategic Initiatives at Workato. “We are excited to partner with Apromore to help enterprises map and analyze any business process across any system using Workato’s unparalleled library of connectors to apps, database, and systems.”
With the Workato alliance, organisations will be able to use Apromore’s process mining capabilities to extract high-fidelity datasets for process mining from a wide range of enterprise systems. The first two integrations available are Oracle NetSuite and Salesforce making it possible for organisations to discover, optimise and automate across processes such as procure-to-pay, order-to-cash, lead-to-quote, and other processes.
As a result of this partnership, customers will be able to use Apromore’s Integration Center to ingest data from a rich set of systems supported by Workato, and to combine data from multiple systems in order to construct high-fidelity logs of their end-to-end processes. Additional integrations will soon become available for other systems including Microsoft Dynamics, Oracle E-Business Suite, ServiceNow and Workday.
Further integrations will enable Apromore users to inject business process analytics outputs produced by Apromore into thousands of applications supported by Workato’s rich set of connectors, including apps for records management, incident management and lead management.
You can read https://www.google.com/url?q=https://apromore.com/press-release-apromore-announces-partnership-with-workato-to-help-enterprises-gain-process-intelligence-across-systems/&source=gmail&ust=1643208654246000&usg=AOvVaw1ocfuann96IoI7QQXhV7Tc"> the press release here
The ability to more easily integrate data removes a top challenge for businesses and means that business decision makers can better analyse, optimize and predict changes to business processes using Apromore process mining software to begin to answer questions such as: “What if 10% of my workforce is sick with Covid next week? What will be the impact on my business”?
These questions can be answered using digital twins, but this can take months to develop manually. By combining process mining with simulation, organizations can start with data-driven models, decreasing the time it takes to get a simulation and improving the accuracy.
To date, large businesses and public sector organisations have had their progress blocked by an inability to get data into analytics systems where they can perform analyses and take corrective action.
The partnership represents a step toward evolving Apromore’s AI-enabled capabilities from predicting impacts of process changes, to prescribing process changes and ultimately automating process improvement or “https://www.google.com/url?q=https://www.linkedin.com/posts/marlondumas_bpm-processmining-ai-activity-6882323987796389888-etT9&source=gmail&ust=1643208654246000&usg=AOvVaw0IYfspgaXNY7lbonuk1g0-">Augmented BPM”, the evolution of process mining.